Job description

Role Summary:We are seeking a highly skilled Microsoft Power Platform Developer to assist one of our top clients, a leading global financial institution, with their AI initiatives. The ideal candidate will have experience in designing and deploying AI-powered solutions for business automation, customer interaction, and data-driven decision-making. They will be focused on LLM-based AI systems, conversational AI, and machine learning-driven automation, and experienced in building scalable and production-ready solutions.Key Responsibilities Collaborate with stakeholders to gather and analyze business requirements for AI-driven automation.Design, develop and implement AI models using Microsoft TechnologiesPerform regular testing, performance analysis, and benchmarking of AI models and workflows.Build and maintain scalable, high-performance AI infrastructure on the Microsoft Azure platform, AI Builder and Copilot with DynamicsConnecting Copilot Studio to relevant data sources like SharePoint, Dynamics 365, and external APIsDevelop and deploy machine learning models using Machine Learning, Cognitive Services, Bot Framework, and other Azure AI toolsEnsure the quality and performance of developed solutions through testing and optimization.Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively.Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc.) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models. Required Skills: Experience with Power Apps, Power Automate, Plugins, AI Builder, Copilot and related architecture and design practices Experience in the Microsoft Dynamic 365 Customer Engagement Experience with Azure, Azure DevOps for CI/CD and C#.net. Experience in developing and deploying AI models and algorithms. Proficiency in programming languages such as Python, Java, or C#. Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Experience of iterative / agile development practicesExcellent communication and collaboration skills with all levels of an organization. Qualifications:Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.5+ years of experience in developing applications Familiarity with basic Machine Learning ConceptsDynamics / Power Platform / Azure certifications are a plus

Requirements